Learning Statistics: Concepts and Applications in R Season 1 Episode 22 Time Series Analysis
- TV-PG
- August 18, 2017
- 34 min
Time series analysis provides a way to model response data that is correlated with itself, from one point in time to the next, such as daily stock prices or weather history. After disentangling seasonal changes from longer-term patterns, consider methods that can model a dependency on time, collectively known as ARIMA (autoregressive integrated moving average) models.